FREMONT, CA: RedPoint Global, provider of data management and digital marketing software has released a Java Software Development Kit (SDK) that extends the company’s Data Management functionalities across all kinds of data projects. The new SDK allows organizations to effectively gain profitable outcome from the data. Developers are now able to integrate RedPoint Data Management with any application, efficiently with the help of the SDK.

"We are dedicated to making our products as flexible as possible so customers can use their data however they want. The Java SDK has been created specifically to help customers get even more value from their data faster," said Dale Renner, CEO, RedPoint Global.

The new Java SDK proves to be versatile in nature, enabling the company’s professional service teams to customize the platform as per the needs of the customer. Developers can also create custom tools on the standard Java IDEs such as Eclipse or NetBeans that links to any business and custom-built internal applications. Using the SDK, data can be written in highly standardized formats as applicable for SAP or Salesforce. External libraries can be used for comparisons, calculations and other forms of data enhancements.

The SDK effectively implements the native analytical formats of output such as Power BI and Tableau, into any workflow. The platform can be integrated with local, in-country address standardization vendors, for the best address quality across 200 countries. It can also be integrated with streaming data and analytic applications within the Hadoop ecosystems such as Apache Storm, Kafka and Spark.

RedPoint supports data based organizations, allowing them to utilize their data completely, promoting overall customer engagement and gaining profitable growth. The company is trying to reinvent the industry with solutions that revamps the data for business transformation.

“As a simple example, one of our clients wanted to understand the drive time between two points as they thought about customer acquisition strategies. We connected Google Maps into the workflow to handle the calculations in the background and then fed the information right into an existing Data Management workflow. This took about twenty minutes to solve," adds Renner.